IDEAS home Printed from https://ideas.repec.org/a/phs/prejrn/v46y2009i1p189-219.html
   My bibliography  Save this article

School inputs and student performance in public elementary schools in Palawan : a quantile regression analysis

Author

Listed:
  • Jan Carlo B. Punongbayan

    (University of the Philippines School of Economics)

Abstract

This study investigates the role of school resources in different measures of student performance in public elementary schools in the province of Palawan. We contend that it is not enough to identify which school resources matter the most, but that it would be more informative for policy purposes to identify which student types may benefit the most from the provision of a given school resource. This way, we may be able to target our allocations toward more productive educational investments. Using quantile regression analysis, we find that in the case of Palawan, improvements in pupil-teacher and pupil-toilet ratios may benefit high-performing schools the most. We also find that class size and pupil-room ratio improvements, along with the provision of guidance counselors and science laboratories, may benefit low-performing schools the most. Our results also give some evidence that conventional ordinary least squares (OLS) procedures may be both insufficient and imprecise in estimating education production functions, and that educational policies based on least squares methods alone may be misguided if not accompanied by other techniques, such as quantile regression, which can offer more valuable insights into education production processes in general.

Suggested Citation

  • Jan Carlo B. Punongbayan, 2009. "School inputs and student performance in public elementary schools in Palawan : a quantile regression analysis," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 46(1), pages 189-219, June.
  • Handle: RePEc:phs:prejrn:v:46:y:2009:i:1:p:189-219
    as

    Download full text from publisher

    File URL: http://pre.econ.upd.edu.ph/index.php/pre/article/view/197/683
    Download Restriction: no

    More about this item

    Keywords

    Quantile regression; academic performance; education resources;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:phs:prejrn:v:46:y:2009:i:1:p:189-219. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Reuben T. Campos). General contact details of provider: http://edirc.repec.org/data/seupdph.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.